嗨，我是 Dustin。
Hi, I'm Dustin.
教了 12 年 GMAT，現在人在曼谷，用 AI 做教育產品。這裡寫的是一個沒有工程背景的人，怎麼靠 Claude Code 和 Gemini 把東西做出來的過程，還有途中踩過的坑。
12 years teaching GMAT. Now based in Bangkok, building education products with AI. This blog is about how someone with zero engineering background actually ships things — and all the pitfalls along the way.
精選
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What I only learned after taking on enterprise AI training—prep time, the client liaison, instructor flexibility, and how to pick an instructor
Four things I learned after running a handful of enterprise AI training sessions. Prep time is 3-5x the session itself. The client liaison decides everything. The instructor has to handle wildly different skill levels. And if you're looking to hire a trainer, the signals are like picking a pop star.
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親自接 AI 企業培訓之後才知道的事——準備時間、甲方對接、講師應變、選講師訊號
接了幾場企業 AI 培訓之後整理出來的四件事：準備時間是上課時間的 3-5 倍以上、甲方對接者決定一切、講師要能應付各種程度跟提問、想找講師的話訊號跟追星很像。
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A Legal Counsel Used Claude Code to Catch Patent Infringement — Days Down to Hours
A legal counsel at a mid-sized company took our Claude Code course, then compressed a multi-day patent infringement audit into a single day — and actually caught a real case that is now in legal proceedings. This story finally turns "Claude Code is not just for engineers" from a slogan into a fact.
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法務用 Claude Code 抓專利侵權，從幾天變成一天
一位幾十人公司的法務上完 Claude Code 課之後，把原本要好幾天的專利侵權查核壓到一天，而且真的抓到送上法律程序。這篇想記下這個案例，因為它讓「Claude Code 不是只給工程師用」這句話從口號變成事實。
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The Truth and BS of Vibe Coding: Observations from a 10-Year Teaching Veteran
We shouldn't uniformly trash Vibe Coding, but we do need to recognize the traps in course quality. A teacher with 10+ years in the game shares how to tell the real deal from the fakes.
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Vibe Coding 的真與假：一個從業十年老師的觀察
不該統一貶低 Vibe Coding，但也要認清課程品質的陷阱。一個教學從業十年以上的人，分享辨識有料與沒料的方法。
vibe-coding
最近在寫
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幫自己做一張「人類的系統卡」：讓 AI 先讀懂你的個性再說話
讓 Claude 讀過去的對話紀錄，幫自己做一張寫滿性格側寫、決策邏輯與溝通偏好的「人類系統卡」，換模型或溝通不對盤時先叫它讀這張卡。內附我的系統卡節錄與四步做法提示詞。
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AI 碎念日記 2026：那些太短但捨不得丟的觀點
2026 年起在 Threads 和 IG 上累積的 AI 短碎念。模型吐槽、開發踩坑、行業觀察、工具心得，每則不超過三行。
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AI 碎念日記 2026：時間軸存檔
2026 年較零碎、時效性的 AI 碎念，依時間排列。精選碎念（依主題分類）見主頁。
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Gemini 被低估是因為原生介面太爛：我的 140 美元御三家配置
很多人酸 Gemini 不好用，其實是自家的網頁版和原生介面拖垮了它。一旦透過 API 接到別家介面，它在寫作與多模態上狠甩其他模型。這是我每個月 140 美元的御三家分工搭配。
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規矩適度拿掉，額度才能越省：寫給 AI 的規則消融實驗滿一週
大家都習慣幫 AI 助手狂加規則，但我發現規矩適度拿掉額度才能越來越省。本文記錄我的消融實驗滿一週數據，以及 Anthropic 官方剛好倡導的極致減法。
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讓 AI 跑的每週清單只會變長，我替它加了一道減法
一個人或小團隊讓 AI 照清單跑例行工作，清單只會越加越長。這篇寫清單為什麼會變長，以及我怎麼替它加每月一次的減法檢視。
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Make Yourself a 'Human System Card': Have AI Read Your Personality Before It Talks to You
Have Claude read your past chat logs and write a 'human system card' covering your personality, decision logic, and communication preferences. Includes an excerpt of my own card and a four-step prompt to make yours.
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AI Micro-Notes 2026: Thoughts Too Short to Trash
Short AI hot takes from 2026 onwards, accumulated from Threads and IG. Model roasts, dev pitfalls, industry observations, tool impressions — each no more than three lines.
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AI Micro-Notes 2026: Chronological Archive
The more scattered, time-sensitive AI micro-notes from 2026, in chronological order. Curated notes (by theme) live on the main page.
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Gemini Is Underrated Because Its Native Harness Sucks: My $140 Big Three Setup
Many people trash Gemini, but its native harness is what drags it down. Hook it up via API, and it crushes other models in writing and multimodality. Here is my $140 monthly setup across the Big Three.
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Cutting Rules to Save Tokens: One Week of AI Harness Ablation
Most people keep piling instructions onto their AI, but removing rules is what actually saves tokens. Here are the one-week results of my ablation experiment and how Anthropic recommended the exact same thing.
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A Weekly Checklist Run by AI Only Ever Grows, So I Added a Subtraction Step
When one person or a small team has an AI run routine work from a checklist, the list only grows. Why that happens, and the monthly subtraction review I added.